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» Computational Complexity of Probabilistic Disambiguation
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AMAI
2004
Springer
15 years 5 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
BMCBI
2007
124views more  BMCBI 2007»
14 years 12 months ago
A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality
Background: Identifying all protein complexes in an organism is a major goal of systems biology. In the past 18 months, the results of two genome-scale tandem affinity purificatio...
G. Traver Hart, Insuk Lee, Edward M. Marcotte
COCO
2005
Springer
123views Algorithms» more  COCO 2005»
15 years 5 months ago
If NP Languages are Hard on the Worst-Case Then It is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
CC
2007
Springer
121views System Software» more  CC 2007»
14 years 11 months ago
If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
EDBT
2010
ACM
177views Database» more  EDBT 2010»
15 years 6 months ago
Bridging the gap between intensional and extensional query evaluation in probabilistic databases
There are two broad approaches to query evaluation over probabilistic databases: (1) Intensional Methods proceed by manipulating expressions over symbolic events associated with u...
Abhay Jha, Dan Olteanu, Dan Suciu